u/CatGPT42

I’m testing an idea for using AI to improve PPT slides, and I built a first version of the workflow in n8n.

Instead of asking AI to redesign an entire presentation at once, the workflow treats each slide as an individual image task.

The current flow looks like this:

1. Initialize Google Sheets and Google Drive
2. Upload the original files — in this case, slide images manually exported from the PPT
3. Save the original slide images to Drive
4. Send each slide image to OpenAI image generation
5. Convert the base64 output into binary
6. Upload the generated images back to Drive
7. Log the status of each slide in Google Sheets
8. Retry failed or timed-out tasks
9. Export the final set of generated images

The main goal is to make AI-based PPT optimization more controllable.

A lot of “AI PPT” tools feel too black-box: you upload a deck, wait, and hope the result is usable. I wanted something more modular, where every slide has its own input, output, status, retry logic, and file history.

This is still a rough prototype, but it seems like a practical direction for batch-processing slide visuals.

Has anyone here tried something similar with n8n, OpenAI image generation, or automated slide improvement workflows?